PitRSDNet: Predicting intra-operative remaining surgery duration in endoscopic pituitary surgery.

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Title: PitRSDNet: Predicting intra-operative remaining surgery duration in endoscopic pituitary surgery.
Authors: Wijekoon A; UCL Hawkes Institute University College London London UK.; Department of Computer Science University College London London UK., Das A; UCL Hawkes Institute University College London London UK., Herrera RR; UCL Hawkes Institute University College London London UK., Khan DZ; UCL Hawkes Institute University College London London UK.; Department of Neurosurgery National Hospital for Neurology and Neurosurgery London UK., Hanrahan J; UCL Hawkes Institute University College London London UK.; Department of Neurosurgery National Hospital for Neurology and Neurosurgery London UK., Carter E; Department of Neurosurgery National Hospital for Neurology and Neurosurgery London UK., Luoma V; Department of Neurosurgery National Hospital for Neurology and Neurosurgery London UK., Stoyanov D; UCL Hawkes Institute University College London London UK.; Department of Computer Science University College London London UK., Marcus HJ; UCL Hawkes Institute University College London London UK.; Department of Neurosurgery National Hospital for Neurology and Neurosurgery London UK., Bano S; UCL Hawkes Institute University College London London UK.; Department of Computer Science University College London London UK.
Source: Healthcare technology letters [Healthc Technol Lett] 2024 Nov 25; Vol. 11 (6), pp. 318-326. Date of Electronic Publication: 2024 Nov 25 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: Wiley Country of Publication: England NLM ID: 101646459 Publication Model: eCollection Cited Medium: Print ISSN: 2053-3713 (Print) Linking ISSN: 20533713 NLM ISO Abbreviation: Healthc Technol Lett Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:2053-3713
DOI:10.1049/htl2.12099